Bank Credit Risk Analyst – Retail Banking
USAA
PythonSQL
Data & Cost Analyst, Applied Mathematician – Associate
Boeing
full-time
Posted on:
Location Type: Hybrid
Location: Alabama, California, Montana, Texas • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
ETLNumpyPandasPySparkPythonSQLTableau
About the role
- Support development of AI-powered estimating tools
- Create databases and data tools
- Manage the ETL process
- Leverage statistical software to build analytical models
- Develop analytical solutions for imperfect datasets
- Normalize and map data for analysis across platforms
Requirements
- Bachelor’s Degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
- Experience with at least one of the following data modeling tools: SQL, Python, PySpark, R/RStudio, Databricks, Dataiku, Tableau, Pandas, NumPy
- 1+ years of experience or graduate degree in one of the following areas: databasing and data normalization, large language models (LLM), or running advanced statistical analysis on datasets
Benefits
- Relocation based on candidate eligibility
- Export control compliance requirements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingETL processstatistical analysisdata normalizationanalytical modelinglarge language modelsdatabasing
